EAGNet: A method for automatic extraction of agricultural greenhouses from high spatial resolution remote sensing images based on hybrid multi-attention

A novel index for robust and large-scale mapping of plastic greenhouse from Sentinel-2 images

(2022) Peng Zhang et al.   REMOTE SENSING OF ENVIRONMENT

AgriSegNet: Deep Aerial Semantic Segmentation Framework for IoT-Assisted Precision Agriculture

(2021) Tanmay Anand et al.   IEEE SENSORS JOURNAL

Mapping agricultural plastic greenhouses using Google Earth images and deep learning

(2021) Wei Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Boundary Enhancement Semantic Segmentation for Building Extraction From Remote Sensed Image

(2021) Hoin Jung et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images

(2021) Hamidreza Hosseinpour et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China

(2021) Ailong Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss

(2020) Xianwei Zheng et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Boundary loss for highly unbalanced segmentation

(2020) Hoel Kervadec et al.   MEDICAL IMAGE ANALYSIS

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE